Karandeep Juneja
Senior Software Engineer at Indeed
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolKarandeep Juneja is a Senior Software Engineer based in Hyderabad with nine years of software development experience and 2.5 years focused on full‑stack work at Indeed, specializing in ReactJS, Java, and frontend performance optimization. He combines production engineering at a major job platform with a strong open‑source footprint—contributing UI and UX improvements to notable Python projects like DIPY and FURY and fixing backend scrapers in alltheplaces. Comfortable across the stack, he has delivered interactive UI components, addressed rendering and data extraction bugs, and improved page performance for user-facing products. His background includes research and teaching roles in digital image processing, reflecting a mix of academic rigor and pragmatic engineering. Notably, his open‑source contributions reveal an attention to visual detail and usability in complex scientific and mapping tools beyond typical web app work.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at International Institute of Information Technology Hyderabad (IIITH)Mathematics and Computer Science, Mathematics and Computer Science at Central Board of Secondary Education
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
medical-imaging10
uid10
scrapy10
visualization10
vtk10
spider10
visualizations10
ui-design10
front-end-development10
webscraping10
python10
3d-graphics9
trac8
neuroimaging8
tractography8
Programming languages (6)
Github contributions (5)
fury-gl/fury
Mar 2018 - Sep 2018
FURY - Free Unified Rendering in pYthon.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:53 commits, 1 PR, 2 comments in 6 months
Contributions summary:Karandeep primarily focused on implementing UI components and features within the project, modifying and extending the existing UI elements. Their work included fixing bugs related to actor properties in the 3D graphics rendering, and developing 2D UI elements such as sliders and file menus. The commits also involve refactoring UI-related code and improving the functionality of the user interface.
pythonshadersfurysimulationrendering
dipy/dipy
Mar 2018 - Sep 2018
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:64 commits, 21 PRs, 35 comments in 6 months
Contributions summary:Karandeep primarily focused on improving the user interface (UI) of the medical imaging library. They fixed bugs related to copying and rendering of UI elements, and ensured that properties like opacity and tolerance are correctly handled. Further enhancements included the addition of new UI components, like a range slider, and improved the overall user experience through features like color changes and visual improvements.
signalpythonmicrostructurespatialtractography
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